NDLI: Visualization of residents in long-term care centres through mobile natural user interfaces (NUI)

Content Provider	IEEE Xplore Digital Library
Author	Arunachalan, B. Diamond, S. Stevens, A. Talaie, B. Ghaderi, M.
Copyright Year	2013
Abstract	Large volumes of formal data and informal information are generated in daily workflow activities of caregivers at long-term care centers. Health data are captured formally through record keeping using paper based forms for regular updates; however, capturing informal information related to resident activities is more challenging. This unstructured data covers social contacts, family events, therapy sessions, and other happenings. The challenges arise firstly from digitizing and aggregating these data sets, because in long-term care, both datasets are essential to assess and support well-being. Secondly, visual analytics seeks to provide caregivers with much better and more effective ways to understand changes in residents' status over long durations, while improving their services immediately. Automated processing and comparison of data is valuable yet human judgment is required to apply analyses to the care of specific residents and develop support across similar groups. This suggests that the integration of automated analysis methods and interactive visualization methods is necessary. Thirdly, direct, multi-sensor handheld devices promise a set of natural input modality in providing interaction techniques such as speech, gesture, touch, and other sensor-based techniques that may facilitate just-in-time ease of analysis. In our research, we concentrate on providing effective visual analytics tools combined with appropriate natural user interfaces (NUI). In this poster, we present a set of NUI designs towards creating a social media platform for caregivers, which integrates automated analysis methods and natural interaction techniques to enable caregivers to capture, store, visualize, and analyze both formal data and informal information. Our research will evaluate whether NUI's make a difference in supporting long-term caregivers.
Starting Page	133
Ending Page	134
File Size	298274
Page Count	2
File Format	PDF
ISBN	9781479916597
DOI	10.1109/LDAV.2013.6675175
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Caregivers Mobile devices Visual analytics Social media Natural user interface Interaction techniques Residents
Content Type	Text
Resource Type	Article

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